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Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

talks

Plan-based bus bridging strategy during disruptions of urban rail networks.

Published:

• Constructed an Integer Linear Programming (ILP) model for “flexible scheduling” of buses to facilitate efficient passenger transportation during rail network disruptions. Developed a program using CPLEX to find the exact solution to the ILP model.
• Designed and implemented a heuristic algorithm in Python to expedite the solution process while consistently achieving optimal results. Introduced neighborhood actions in local search to enhance the algorithm’s performance, resulting in a solution that deviates by only 2.2% from the exact solution.

Time Series: Analysis of AQI of Delhi 2015-2020

Published:

Utilized R to model and predict Air Quality Index (AQI) for the 12-month period from August 2019 to August 2020, based on historical monthly air quality data from Delhi, India.

Text mining and classifications in Yunduoduo (Team Project)

Published:

• Collected data from forum “Yunduoduo” and fine-tuned the BERT model for predicting the sentiment of posts.
• Compared the accuracy and CPU time of various machine learning algorithms, including Random Forest, Logistic Regression, and Linear Support Vector Machines; Proposed a automatic classification application prototype.

Identifying Popular Products at An Early Stage for Apparel Industry

Published:

• Proposed a new indicator called AW Sales (Average Weekly Sales in Main Sales Period) to measure the popularity of a product, which is unaffected by the differences in store traffic, number of stores with initial stock, discounts and length of time the product has been launched.
• Constructed novel features such as the longest increasing subsequences derived from the sequence of weekly adjusted sales volume of product k across all stores within a typical region.
• Built a product popularity classification model for apprel field with LambdaMart ranking model, which is the first time the ranking algorithm has been applied to the sales prediction field. achieved a prediction accuracy of 78.9%, and identifies fast-selling products 17 days earlier than rule-based method.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.